Disasters are events that require multiple-agency responses, and resources beyond the capability of a community. Natural disasters put tremendous threats to the lives of people, in addition to economic loss. Data and information collection, processing, analysis, and sharing are critical to disaster preparation, response, and recovery. Despite extensive prior research, there is still a great need for efficient and robust data/information analysis technology and system for emergency applications during disasters. This special session will provide a forum for researchers and practitioners to exchange their newest research results on efficient and reliable mechanisms and technologies for data collection, analysis, decision making and information dissemination before, during, or after disasters.
Listed but not limited to the following topics for disaster/emergency/crisis management:
Big data analytics
Data/information management
Data mining from huge sources
Social media and networks
Crowd sourcing
Sensory data processing
Resilient information networking
Big data/machine learning for situation detection
Prediction and early warning
Context-aware computing
Uncertainty and possibility adversity in data handling
Geographic information technology and system
Open source data and space based resources
Security and privacy issues in information sharing
10月19日
2017
10月21日
2017
注册截止日期
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